論文解讀：Sequence to Sequence Mixture Model for Diverse Machine Translation
論文解讀：Sequence to Sequence Mixture Model for Diverse Machine Translation 機器翻譯是自然語言處理中比較熱門的研究任務，在深度學習背景下，通過神經網絡搭建的機器翻譯也稱爲當今主流方式。在解決機器翻譯過程中需要解決諸多問題，例如原始句子的語義表徵、句子對齊、集束搜索、未知詞、漏譯過譯等。而對於這種序列到序列的任務中，通常有諸多策
相關文章
- 1. CVPR 2018 Convolutional Sequence to Sequence Model for Human Dynamics 論文解讀
- 2. Write a Sequence to Sequence (seq2seq) Model
- 3. 論文閱讀：Diverse Beam Search--Decoding Diverse Solutions from Neural Sequence Models
- 4. Direct speech-to-speech translation with a sequence-to-sequence model
- 5. Translation with a Sequence to Sequence Network and Attention
- 6. 從Machine Translation 到Sequence to Sequence(Seq2seq)、Attention、Pointer Network(prt network)
- 7. 讀sequence to sequence 文章
- 8. Sequence Model (四)
- 9. 論文導讀｜《Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model》
- 10. 【讀】seq2seq——（8）A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for TextSum
- 更多相關文章...
- • XML Schema sequence 元素 - XML Schema 教程
- • XSL-FO page-sequence-master 對象 - XSL-FO 教程
- • JDK13 GA發佈：5大特性解讀
- • Scala 中文亂碼解決
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. CVPR 2018 Convolutional Sequence to Sequence Model for Human Dynamics 論文解讀
- 2. Write a Sequence to Sequence (seq2seq) Model
- 3. 論文閱讀：Diverse Beam Search--Decoding Diverse Solutions from Neural Sequence Models
- 4. Direct speech-to-speech translation with a sequence-to-sequence model
- 5. Translation with a Sequence to Sequence Network and Attention
- 6. 從Machine Translation 到Sequence to Sequence(Seq2seq)、Attention、Pointer Network(prt network)
- 7. 讀sequence to sequence 文章
- 8. Sequence Model (四)
- 9. 論文導讀｜《Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model》
- 10. 【讀】seq2seq——（8）A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for TextSum